A comparison of ship maneuverability models to approximate ship navigation trajectories
Paper in proceeding, 2021

For optimal control of unmanned surface vehicles (USVs), it is essential to understand the maneuverability of the USVs. In this study, two well-recognized maneuverability models are compared for their capability to predict the trajectories of a simulation and an experiment ship models. The parameters of these maneuverability models are estimated by a statistical learning method. The goodness of the two models for describing a simulated merchant ship’s maneuverability is firstly studied using her simulated trajectories. Finally, the capability of those modelling methods is further investigated using experimental tests of a ship model at an open lake. The experimental tests can model a bit “real” sailing conditions to a USV with wind and drift effects. Finally, some modification and improvement techniques are suggested to accurately derive her maneuverability model based on experimental data.

Ship trajectory

Parameter identification

Statistical regression

Maneuverability models

Author

Zhang Daiyong

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Wengang Mao

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Jonas Ringsberg

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Proceedings of The 6th International Conference on Ships and Offshore Structures (ICSOS 2021)

1-9 ICSOS2021-008

Proceedings of The 6th International Conference on Ships and Offshore Structures (ICSOS 2021)
Hamburg, Germany,

E-Nav - Efficient Electronic Navigation at Sea

European Commission (EC), 2019-04-11 -- 2021-10-11.

VINNOVA (2019-01059), 2019-04-11 -- 2021-10-11.

VINNOVA (2019-01059), 2019-03-01 -- 2021-08-31.

Driving Forces

Sustainable development

Innovation and entrepreneurship

Areas of Advance

Transport

Energy

Subject Categories

Applied Mechanics

Ocean and River Engineering

Roots

Basic sciences

More information

Latest update

2/16/2022